MOVEMENT DETECTION IN THE ACCELEROMETER DATA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00198302" target="_blank" >RIV/68407700:21230/12:00198302 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
MOVEMENT DETECTION IN THE ACCELEROMETER DATA
Original language description
In this article, the algorithms for movement detection in the accelerometer data are described. Two algorithms for movement detection in signal were designed. The purpose of these algorithms is to detect the start and end of the changes which represent movements sections in data. The ways of approaching this issue include second differentiation, points of the inflection, CUSUM algorithm and peak detection. The algorithms were tested on the accelerometer data which were acquired during human body movements. The body movements were based on exercises from Tinneti's balance assessment tool. Moreover the next test data were acquired during rehabilitation exercises after hip joint replacement. The automatic method for angle range computation were designed and tested on this data as well.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
BioDat 2012 - Conference on Advanced Methods of Biological Data and Signal Processing
ISBN
978-80-01-05153-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
2-6
Publisher name
České vysoké učení technické v Praze
Place of publication
Praha
Event location
Praha
Event date
Nov 27, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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